首页|Research Results from Universitas AMIKOM Yogyakarta Update Understanding of Mach ine Learning (Comparison of Feature Extraction Methods for Conducting Sentiment Classification in Ternate Malay Language using Machine Learning Approaches)
Research Results from Universitas AMIKOM Yogyakarta Update Understanding of Mach ine Learning (Comparison of Feature Extraction Methods for Conducting Sentiment Classification in Ternate Malay Language using Machine Learning Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from the Universitas A MIKOM Yogyakarta by NewsRx correspondents, research stated, “Local people in Ter nate, North Maluku, often use local languages to communicate on social media.” Our news editors obtained a quote from the research from Universitas AMIKOM Yogy akarta: “This poses a challenge for newcomers to understand the implied meaning and emotions of the messages conveyed through social media. This research aims t o develop a natural language processing (NLP)-based emotion classification metho d that can be applied to Ternate Malay text datasets. The application of NLP is expected to improve the accuracy of emotion detection and classification in the text. The research was conducted by applying and comparing the performance of se veral classification models trained using Ternate Malay text datasets. The model s used include SVM (Support Vector Machine), K-Nearest Neighbors (KNN) Random Fo rest, Decision Tree and Logistic Regression. Each model is applied using BoW (Ba g-of-Words) and Word2Vec vectorization representations.”
Universitas AMIKOM YogyakartaCyborgsEmerging TechnologiesMachine Learning
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